SPMM

SPMM models early HIV-1 genetic diversity from DNA sequencing data to infer transmission events and estimate timing of infection.

Key Features:

• Mathematical Framework: SPMM employs a mathematical approach to model the early genetic diversity of HIV-1 to decipher transmission events.
• Quantitative Analysis: The tool provides quantitative guidelines for segregating viral lineages, enabling estimation of infection timing with high precision.

Scientific Applications:

• Vaccination and Prevention Strategies: By characterizing transmission and early evolution of HIV-1, SPMM informs development of vaccination and prevention strategies.
• Understanding Genetic Diversity: The tool assesses early HIV-1 genetic diversity to aid prediction of disease progression rates and interpretation of viral behavior after infection.

Methodology:

SPMM leverages DNA sequencing data to account for the diverse array of viral strains within an infected individual and uses this information to pinpoint timing of infection and identify transmitted variants.